Scout from M’Soft is the agentic Autopilot that works across M365
Microsoft has announced the wider testing of its new Autopilot feature at the Microsoft Build event this week, backed by a post on the company’s’ website. Autopilots are described as a new category of agents that can work autonomously on a user’s behalf. Microsoft says each Autopilot has its own identity, and so multiple agents […]
Amazon brings AI shopping assistant to retailers with Kate Spade
Amazon is offering its AI shopping technology to other retailers through a new Agentic Shopping Assistant built on AWS, with Kate Spade among the first brands to use it. The service allows retailers to build AI shopping assistants for their own websites and apps. Amazon said each deployment can be customised to a retailer’s catalogue, […]
Miso Labs Releases MisoTTS: An 8B Emotive Text-to-Speech Model with Open Weights
Miso Labs has released MisoTTS, an open-weights 8-billion-parameter text-to-speech model. It generates expressive speech from both text and audio context. The model uses residual vector quantization (RVQ) to widen its sonic range. This avoids scaling a single flat vocabulary while keeping parameter count fixed. What is MisoTTS MisoTTS is an 8B-parameter text-to-dialogue RVQ Transformer. It […]
Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning
Researchers at Stanford University and Lambda Labs, have published the research paper for OpenJarvis, an open-source framework that runs inference, agents, memory, and learning entirely on-device. The open-weight models configured through OpenJarvis land within 3.2 percentage points of the best cloud model on average, at roughly 800× lower marginal API cost per query and roughly […]
How to Build a Document Intelligence Backend with iii Using Workers, Functions, and Cron Triggers
def normalize(data): return {“text”: (data.get(“text”) or “”).strip().lower()} def tokenize(data): text = data.get(“text”, “”) cleaned = “”.join(c if (c.isalnum() or c.isspace()) else ” ” for c in text) tokens = [t for t in cleaned.split() if t] return {“tokens”: tokens, “count”: len(tokens)} def sentiment(data): toks = data.get(“tokens”, []) pos = sum(t in POSITIVE for t in […]
Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB laptop
Google DeepMind just released Gemma 4 12B, a dense multimodal model that strips out traditional encoders entirely. Vision and audio flow straight into the LLM backbone. The result is a model that runs agentic workflows on a consumer laptop with 16 GB of RAM. It ships under the Apache 2.0 license. Model Overview & Access […]
I Spent May Evaluating Different Engines for OCR
were supposed to be read by a machine. Old hotel invoices, bank statements, payslips, loan applications, medical bills, customs forms, court filings, work orders. Most companies use free tools alongside paid APIs to try to convert these documents, and if you want structured output, APIs like Textract Structured run you up to around $65 per […]
Why AI Is NOT Stealing Your Job
. You might lose your job because of AI. Maybe you already did. Maybe you are struggling to enter an industry that now hires fewer juniors. And if your job survives, competition may become harsher: fewer openings, higher expectations, lower bargaining power. However, AI alone is not a danger. It is AI deployed inside an […]
I Built a C++ Backend So My GPU Would Stop Eating Air
This is a humorous-but-real tour of the — covering VRAM-aware bin packing, pinned-memory transfers, and how to make your LLM up to 5.89× faster by being mildly rude to PyTorch. Repo: github.com/AnubhabBanerjee/WarpGroup-backend TL;DR: Standard LLM batching pads short sequences with zeros so they match the longest one. Your GPU then dutifully performs billions of multiplications on those […]
How E.ON uses SAP S/4HANA to modernise the grid with AI
Standardising grid data through SAP S/4HANA allows E.ON to modernise infrastructure and execute AI deployments. The utility giant manages infrastructure across three distinct domains: energy grids, customer solutions, and energy infrastructure solutions. Maintaining operations across this scope requires continuous capital expenditure on IT hardware and software maintenance. Leadership initially questioned the business case supporting large-scale […]